Asna, Madathodika and Shareef, Hussain and Achikkulath, Prasanthi and Mokhlis, Hazlie and Errouissi, Rachid and Wahyudie, Addy (2021) Analysis of an optimal planning model for electric vehicle fast-charging stations in Al Ain City, United Arab Emirates. IEEE Access, 9. pp. 73678-73694. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3081020.
Full text not available from this repository.Abstract
For the large-scale promotion of electric vehicles (EV), reliable fast-charging stations (FCS) demand high priority among EV users. However, unplanned locations of charging stations (CSs) and station capacity determination have adverse effects on the operation and the performance of power-distribution network. In this study, we developed an optimal FCS-planning model considering the aspects of EV users' convenience, station economic benefits, the impact on distribution systems and the effect on environment. A queuing-theory-based CS sizing algorithm that benefits EV users as well as improves CS capacity utilization was proposed. The proposed planning model was verified through a case study using real road network data by employing multi-objective binary and non-dominated sorting genetic algorithm. In addition, to evaluate the efficiency of the proposed sizing algorithm, sensitivity analyses for different EV penetration levels and station utilization were conducted. The simulation results show that the proposed CS-allocation model is beneficial in terms of achieving the satisfaction of EV users, cost savings, better station utilization, and less impact on power grids and the environment. Finally, to validate the effectiveness of the proposed planning model, a comparative study with one of the previous work on CS planning is also performed. The results demonstrate that the proposed charging station sizing method is highly efficient in optimizing EV users' satisfaction and for better station utilization.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Cascading style sheets; Planning; Charging stations; Transportation; Investment; Distribution networks; Urban areas; Distribution network performance; environmental impact; Fast charging station; Optimal planning; Queuing theory; Station utilization |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 03 Mar 2022 07:45 |
| Last Modified: | 03 Mar 2022 07:45 |
| URI: | http://eprints.um.edu.my/id/eprint/28245 |
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